Pearson Correlation Coefficient
This function computes double block bootstrap percentile confidence intervals and bootstrap standard errors for the Pearson correlation coefficient r and Fisher's z = atanh(r).References:-Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall.-BdoDshlmann, P. and...
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1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y, the sample correlation matrix is R=X'Y/(n-1),...
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This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient...
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Calculates regression different models and tests includes Pearson's Correlation Coefficient, Ordinary Least Square, Coefficient of Determination, Statistical Test of Significance. Also the software provides narrative explanation of data analysis
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'Statistics for MySQL' provides additional statistical functions (like Pearson's coefficient of correlation) which are missing in MySQL. DLLs for 32 and 64bit Windows as well as makefiles for Linux are available.
Platforms: Windows, Mac, BSD, Linux
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It calculates the Spearman rank correlation coefficient from 2 or more data sets, and the associated t-test and p-values. The code is adapted with major changes from the Numerical Recipes book (http://www.nr.com/)Example:>> x = [1 2 3 3 3]';>> y = [1 2 2 4 3; rand(1,5)]';>> [r,t,p] = spear(x,y)>>...
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The correlation coefficient calculation is implemented not with built-in function corr or corr2 but with conv2. Function corr is relatively slow for template matching purpose and it is also required extra considerations on controlling the boundary and selecting region of interest on the frame...
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Calculates the correlation coefficient for 2-d directional and circular data, e.g., if you have one set of 2-d movements and want to compare them to a second (paired) set of 2-d movements.The input to the function is two Nx2 matrices (each matrix specifies the x,y coordinates of N data points).
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References:Fisher, N.I. and A.J. Lee (1983) A correlation coefficient for circular data. Biometrika Trust. 70(2):327-332 http://biomet.oxfordjournals.org/cgi/conte...stract/70/2/327Fisher, N.I. (1996) Statistical Analysis of Circular Data. Cambridge University Press.ISBN 0521568900,...
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A collection of snippets I use to do a little math. Nothing fancy. The mission Fill a basket for all the math I use to do journalism and prevent myself from having to install numpy on my production server by boiling things down as much as possible. Contains functions that calculate: * Adjusted...
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The correlation coefficient (commonly noted by the Greek letter rho, ?) measures the degree to which two sets of numbers are related. The correlation coefficient can range from -1.000 to +1.000 with a 0 indicating that there is no relation between the two sets. A 'slider' data entry option...
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Converts between correlation coefficient and Fisher's z
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Used on cellular phones to filter outbackground noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal...
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The basic functions include the MATLAB implementation of ICC (Intraclass Correlation Coefficient), CCC (Corcordance Correlation Coefficient) and Kendall's W or KCC (Kendall's Coefficient of Concordance).List of basic functions:. IPN_icc: computes the interclass correlations for indexing the...
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This is a program which utilizes the included functions in order to calculate 8 image indices (Bias, Correlation coefficient, DIV, Entropy, ERGAS, Q, RASE and RMSE). The purpose of the program is to produce the results fast, easily and in a convenient way for the user (see Outputs). Initially,...
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Cluster validation is an important and necessary step in cluster analysis. This visual cluster validation tool CVAP based on GUI provides important tools and convenient analysis environment for validity evaluation of clustering solutions, estimation of the number of clusters and performance...
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ShadedCorrelationTable produces a correlation table for a set of variables, enhanced graphically with shading according to correlation values.Upper or lower ranges of correlation values may be highlighted through the interface controls. Two methods are provided to do this: a decay function that...
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SQLStatistics extends the T-SQL scripting environment so you can carry out statistical tests, calculate metrics and perform analyses on your data from within the database itself. This tends to be much faster and more efficient than transporting the data across the network to a client application,...
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Model for Soft Independent Modeling of Class Analogy (SIMCA) simca_model=simca(x,classes) input: x (samples x descriptors) for calibration classes (samples x 1) classes numbers (must be >0) output: simca_model struct with: models (1 x No. classes) struct with: (one for each class) x (samples x...
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Patristic is a Java program that uses as input different tree files and computes their patristic distances. Patristic allows saving and editing in different ways those distances. Patristic provides different graphic views of the results as well as the possibility to save them in the CSV format...
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